Neurophos
Modeling Architect
$170K–$200K
Austin, Texas +1 · On-site · Full-time · Posted Sep 4, 2026
- Location
- Austin, Texas
Sunnyvale, California - Experience
- 3+ years in hardware modeling, performance simulation, computer architecture, or related work.
- Education
- BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
About the job
Model and evaluate the T100 optical inference accelerator through workload analysis and hardware/software co-design, using analytical models, simulators, and RTL simulation.
What you'll do
- Bring up AI inference workloads and run Hugging Face and PyTorch workloads on the functional model.
- Co-design tiling, scheduling, ISA, memory hierarchy, and multi-chip mapping; build performance, energy, latency, and hardware models.
- Maintain reproducible tests, configurations, and results, and communicate findings with architecture, compiler, runtime, and RTL teams.
What they ask for
- BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- 3+ years of experience in hardware modeling, performance simulation, computer architecture, or related work.
- Proficiency in Python or modern C++ (C++17 or later).
- Working knowledge of computer architecture and microarchitecture, and ability to turn an LLM, GEMM, or accelerator paper into a workload config using Hugging Face or PyTorch.
Nice to have
- MS or PhD in Computer Engineering, Electrical Engineering, or Computer Science.
- Experience with performance analysis or simulation, RTL, memory/interconnect, CUDA, GPU programming, or PyTorch internals.
Pay
$170K – $200K (base salary)
Tools
Python, C++17 or later, Hugging Face, PyTorch, SystemVerilog, Verilator, SystemC, gem5
AI focus
Models an optical inference accelerator and brings up AI workloads, including transformers, MoE, hybrid/SSM, retrieval, speech, vision, and recommendation workloads.
Model-written summary · the original posting is authoritative